Stabæk II vs Rosenborg II: result 4-1 and analysis
3. Division - Girone 4Group 4 - 2Kick-off on April 15, 2024 at 02:00 PM (UTC)Nadderud Kunstgress, Bekkestua
Full time
What was the result of Stabæk II vs Rosenborg II?
Stabæk II won 4-1 on April 15, 2024.
Goalscorers
- 32′?Stabæk II
- 37′H. GeelmuydenStabæk II
- 47′A. AndresenStabæk II
- 57′P. ChrupałłaRosenborg II
- 90′?Stabæk II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Stabæk II have 5 wins, 4 draws and 6 defeats; Rosenborg II have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2024 | Nardo(away) | 0-4 | 3. Division - Girone 4 |
| Oct 29, 2023 | Ullern II(home) | 5-0 | 3. Division - Girone 1 |
| Oct 22, 2023 | Lysekloster(away) | 1-2 | 3. Division - Girone 1 |
| Oct 14, 2023 | Gjelleråsen(home) | 2-2 | 3. Division - Girone 1 |
| Oct 9, 2023 | Sandviken(away) | 3-6 | 3. Division - Girone 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2024 | Rana(home) | 1-2 | 3. Division - Girone 4 |
| Mar 18, 2024 | Strindheim(away) | 2-8 | Friendlies Clubs |
| Feb 21, 2024 | Stjørdals-Blink(away) | 2-6 | Friendlies Clubs |
| Oct 29, 2023 | Bodø / Glimt II(home) | 2-3 | 3. Division - Girone 5 |
| Oct 22, 2023 | Orkla(away) | 3-5 | 3. Division - Girone 5 |
How many goals should we expect?
Stabæk II score 2.3 and concede 2.1 goals per match over their last 15; Rosenborg II score 1.6 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stabæk II | 2.3 | 2.1 | 3 | 10/15 | 13/15 |
| Rosenborg II | 1.6 | 2.6 | 3 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Stabæk II | 16 | 6 | 2 | 8 | 35 | 40 | 20 |
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy